The Most Profitable Century Ever – Welcome to the Fourth Industrial Revolution
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The second Industrial Revolution was ignited by the assembly line. Mass production put 15 million Model T Fords on roads around the world, helped make Detroit one of the world production centers, and made America the “Arsenal of Democracy” in World War II. It created a living wage, slashing the work week and fueling the growth of the Dow Jones Industrial Average and the Fortune 500.
The third Industrial Revolution was powered by silicon and the atom — semiconductors and nuclear power — and seeded the ground for Silicon Valley.
Each leg of the Industrial Revolution has created massive fortunes for builders, patent hoarders, robber barons, and computer geniuses.
But what is known as the “Fourth Industrial Revolution” could be the most important because of the wealth it could create for everyday people.
The previous revolutions kept regular investors at arm’s length — and continued to concentrate global wealth with the one-percenters.
The biggest fortunes were largely amassed by people who owned patents connected to the steam engine, like James Watt, or refined the assembly line down to a science, like Henry Ford, or helped computers become mainstream, like Bill Gates.
You had to be the inventor, the financier, or otherwise connected to the “in crowd” to be an early investor.
But in the Fourth Industrial Revolution, all that changes.
You don’t have to be an engineer or a savvy patent accumulator.
You don’t have to create a breakthrough in a production process.
And you don’t have to be a mastermind at building computer software.
Instead, all you have to do is tap into the innovative technology that’s being built during the Fourth Industrial Revolution, harness it, and make money on a massive scale.
You can do it through artificial intelligence (AI) and its power to process big data analytics.
Specifically, you can do it through something we call “An-E.”
Meet An-EOur company is — and always has been — in a constant state of R&D (research and development) to make our products better.
We’re always looking to push the envelope, to take our innovations to the next level… and years ago, we saw AI was the way to do that.
So, developing a predictive AI algorithm was really the next logical step.
We then set about creating the most predictive market algorithm possible.
And to do that, we developed everything on our own.
All the data science, all the computer programming, all the AI development… it was all engineered in-house. It’s all proprietary.
This isn’t some “plug and play” AI algorithm we downloaded from a third party. To get it right, we had to start from scratch.
That led us to a program called An-E (pronounced Annie), short for Analytical Engine.
We fed it huge amounts of data and suggested a desired outcome — like “find a reliable stock picking method that does well with 30-day holding periods” — and An-E crunched trillions of data points to see if it could create a useful system.
But, here’s the key: Not just anyone can create a program like this…
You need a lot of money, and you need access to a tremendous amount of data.
Then you have to make sure the data is accurate before you feed it into the machine.
Not only that, but once the machine finds a useful model, you have to run that model through every type of market in the past to “train” the system to work in all types of scenarios.
It took us a while to get to the point where we could reliably trust An-E to predict a stock’s future price action.
But it was all worth it, because what makes An-E so powerful is that through all this training and development, humans aren’t the ones setting the parameters. Humans are prone to errors and bias, and our fallibility can skew the results.
An-E doesn’t have biases.
It’s designed to create its own optimal parameters based purely on getting a desired result: helping folks make money and avoid taking unnecessary risks.
And in terms of putting An-E to use… don’t worry, you don’t have to be a computer expert.
I like to say if you can use a search engine like Google, you can use An-E. That’s the level of computer savvy you need to use this service.
Simply type the ticker symbol or name of the stock into the search box and An-E will generate a detailed forecast for the next 30 days.